Agentic Commerce Senior Manager | Life Sciences

About this role

We Are

AccentureSongacceleratesgrowth and value for our clients through sustained customerrelevance. Our capabilities span ideation to execution: growth,productand experience design; technology and experience platforms; creative,mediaand marketing strategy; and campaign,contentand channel orchestration. With strong clientrelationships and deep industryexpertise, we help our clientsoperateat the speed of life through the unlimited potential of imagination,technologyand intelligence. Visit us at:

Overview

We areseeking a Senior Manager to help lead the delivery of agentic commerce and digital ecosystem transformation programs forLife Sciencesclients. This role sits directly below the Managing Director / Partner and willberesponsible fortranslating strategic vision into actionable programs that modernize howourclientsstructure, distribute, andoptimizetechnologyproducts across digital platforms and emerging AI-driven ecosystems.

As customer journeys evolve beyond traditional websites and apps toward AI-mediated discovery, conversational interfaces, and intelligent agents,organizationsmust modernize their platforms, product data, content ecosystems, and integration architectures. This Senior Manager will play a critical role in helping clients operationalize these changes by leading key workstreams across platform architecture, digital discoverability, content ecosystems, and AI-ready data infrastructure.

You will lead multidisciplinary teams across strategy, technology, and experience disciplines to deliver scalable solutions that enableour clientsto surface products across digital channels, partner ecosystems, and intelligent agent environments. The ideal candidate combinesLife Sciencesindustryexpertise, digital platform strategy, and strong program leadership with an understanding of how emerging AI technologies arereshapingcustomerexperiences.

JobResponsibilities

Platform & Ecosystem Strategy Delivery

• Lead major workstreams that modernize how products and services aredistributed across digital platforms and partner ecosystems.

• Design and implement strategies that connectcustomerplatforms with partners, marketplaces, and digital ecosystems.

• Define integration approaches using APIs, service layers, and product data feeds to support scalable product distribution.

• Lead solution development for platform modernization initiatives supporting futuredigital experiences.

• Translate strategic clientobjectivesinto executable architecture, delivery plans, andimplementationroadmaps.

Machine-Readable Commerce Architecture

• Architect schema and structured frameworks aligned toAIretrieval andreasoning models.

• Ensureproduct, pricing, availability, policy, andreview data aremachine-consumable and consistently exposed.

• Designentity-layerclarity thatreduces ambiguity for LLM interpretation.

Agent Communication & ExecutionReadiness

• Define standards for Agent Communication Protocols (ACP) and APIreadiness.

• Partner with engineering to expose endpoints that support AI agent interaction.

• Ensurefeeds supportreal-time decisioning (inventory, pricing, shipping logic).

• Build scalable frameworks for AI-assisted transactions.

Retrieval & Indexation Optimization

• Optimizestructured data for RAG (Retrieval-Augmented Generation) environments.

• Collaborate with GEO and content teams to ensurealignment between semantic layer and markup layer.

• Reduce friction between presentation layer and structured layer.

Monitoring & Technical Governance

• Implement structured data QA and monitoring frameworks.

• Identifygapsimpactingcitation eligibility orrecommendation logic.

• Establish governance standards for structured updates across markets.

Security, Trust & Compliance

• EnsureAPIs and structured outputs align with privacy, compliance, and brand safetyrequirements.

• Partner with legal and security teams to assess risk exposurein agentic integrations.

Data & AIReadiness

• Support structuring of product and customer data for analytics, personalization, and AI use cases.

• Identifyopportunities wheredata can enhance decision-making,recommendations, and customer experiences.

• Collaborate with data teams to improve data accessibility across digital channels.

Client Engagement & Program Leadership

• Serve as a key client-facing leaderresponsible for delivering complex transformation programs.

• Manage multi-disciplinary teams across strategy, technology, design, and analytics.

• Lead client workshops, working sessions, and executive updates.

• Translate complex technical and strategic concepts into clearrecommendations for senior client stakeholders.

• Ensuredelivery excellence across large transformation engagements.

Innovation & Capability Development

• Help shape the evolution of Accenture’s capabilities at the intersection ofLife Sciences, AI, and digital ecosystems.

• Identifyemerging technologies and trendsimpactingcustomer experiences and distribution models.

• Contribute to internal thought leadership on digital transformation and agentic commerce.

• Collaborate across AccentureSong, Technology, and Strategy teams to develop new capabilities and offerings.

Basic Qualification:

• 10+ years of experience in consulting, digital strategy, or technology strategy within Life Sciences organizations; experience must include:

• Experience working on digital transformation, customer experience, or platform-related initiatives

• Strong understanding of digital platforms, partner ecosystems, and API-based integrations.

• Experience with AI-driven customer experiences, conversational interfaces, or emerging digital ecosystem trends

• Understanding of digital marketing, content strategy, or product experience optimization

• Experience collaborating with engineering leadership to prioritize AI-readiness initiatives on technical roadmaps

• Proven ability to lead complex programs and manage cross-functional teams
Preferred Qualifications:

• Bachelor’s degree in…